Jones Scott P, Dwyer Dominic M, Lewis Michael B
a School of Psychology , University of Birmingham , Birmingham , UK.
b School of Psychology , Cardiff University , Cardiff , UK.
Q J Exp Psychol (Hove). 2017 May;70(5):906-918. doi: 10.1080/17470218.2016.1158302. Epub 2016 Mar 24.
The ability to recognize an unfamiliar individual on the basis of prior exposure to a photograph is notoriously poor and prone to errors, but recognition accuracy is improved when multiple photographs are available. In applied situations, when only limited real images are available (e.g., from a mugshot or CCTV image), the generation of new images might provide a technological prosthesis for otherwise fallible human recognition. We report two experiments examining the effects of providing computer-generated additional views of a target face. In Experiment 1, provision of computer-generated views supported better target face recognition than exposure to the target image alone and equivalent performance to that for exposure of multiple photograph views. Experiment 2 replicated the advantage of providing generated views, but also indicated an advantage for multiple viewings of the single target photograph. These results strengthen the claim that identifying a target face can be improved by providing multiple synthesized views based on a single target image. In addition, our results suggest that the degree of advantage provided by synthesized views may be affected by the quality of synthesized material.
基于之前对照片的接触来识别不熟悉的个体的能力 notoriously 很差且容易出错，但当有多张照片时，识别准确率会提高。在实际应用中，当只有有限的真实图像可用时（例如，来自嫌疑犯照片或闭路电视图像），生成新图像可能为原本容易出错的人类识别提供一种技术手段。我们报告了两项实验，研究提供计算机生成的目标面部额外视图的效果。在实验1中，提供计算机生成的视图比仅暴露于目标图像能更好地识别目标面部，并且与暴露于多张照片视图的表现相当。实验2重复了提供生成视图的优势，但也表明对单张目标照片进行多次查看有优势。这些结果强化了这样的观点，即通过基于单个目标图像提供多个合成视图可以提高识别目标面部的能力。此外，我们的结果表明，合成视图提供的优势程度可能会受到合成材料质量的影响。
